发布求助
文献互助 智能选刊 最新文献

Proceedings of 1995 IEEE International Conference on Fuzzy Systems.最新文献

筛选
英文 中文
Inference beyond logic: protologic 超越逻辑的推理:本体论
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409837
K. Thornber
{"title":"Inference beyond logic: protologic","authors":"K. Thornber","doi":"10.1109/FUZZY.1995.409837","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409837","url":null,"abstract":"A countably infinite class of inferences with no counterpart in logic is presented. These comprise an autonomous subclass of inferential equations previously introduced by the author (1992, 1993). They can serve as a protologic with relatively low fidelity in the absence of the stronger relations of logic, and/or fuzzy-logic inference.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A neural network based recognition scheme for the classification of industrial components 基于神经网络的工业部件分类识别方案
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409927
A.R. McNeil, T. Sarkodie-Gyan
{"title":"A neural network based recognition scheme for the classification of industrial components","authors":"A.R. McNeil, T. Sarkodie-Gyan","doi":"10.1109/FUZZY.1995.409927","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409927","url":null,"abstract":"This paper outlines a method for representing the silhouettes of industrial components by generating a vector sequence of Euclidean distances between the shape centroid and each boundary pixel, which is translation invariant and can exhibit scale and rotation invariance if required. The sequence can be re-sampled to form a suitable input vector for an artificial neural network (ANN). Three different ANN topologies have been implemented: the multilayer perceptron, a learning vector quantisation network and hybrid self organising map. This method of representing industrial components has been used to compare the ANN architectures when implemented as classifiers based on shape and dimensional tolerance. A number of shortcomings with this methodology have been highlighted; most importantly the identification of a unique sequence start point, vital for rotation invariance. Another problem may arise due to the conflict between the inherent robustness of ANNs when dealing with noise, and classifying components which are similar but display subtle dimensional differences.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Linguistics and uncertainty in intelligent systems 智能系统中的语言学和不确定性
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409999
I. Turksen
{"title":"Linguistics and uncertainty in intelligent systems","authors":"I. Turksen","doi":"10.1109/FUZZY.1995.409999","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409999","url":null,"abstract":"Fuzzy set theories allow us to represent our knowledge under various interpretations and axiomatic foundations from linguistic to computational representations. There are at least four levels of knowledge representation: (i) linguistic, (ii) meta-linguistic, (iii) propositional, and (iv) computational. There are three transformations, which depend on the particular interpretations put on a knowledge representation schema. There are various choices, corresponding to one's interpretation of: (a) type of set representation, (fuzzy or crisp), (b) type of propositional connectives and normal forms, and (c) type of computational connectives, i.e., weak or strong t-norms and co-norms. In the light of these selections, fuzzy disjunctive and conjunctive normal forms (FDNF, FCNF) are derived from fuzzy truth tables. It is shown that classical expressions such as excluded middle etc., when fuzzified, ought to be reinterpreted with a type II, second order, semantic uncertainty. The classical expressions should not be interpreted as to whether they are valid or not. One can only state that the well-known tautologies of classical logic are valid to many degrees specified by an interval defined by their FDNF and FCNF. FDNF and FCNF boundaries identify the nonspecificity measure associated with type II, second order, semantic uncertainty. Thus, those researchers who are not familiar or who are not concerned with type II semantic uncertainty work with a myopic understanding of fuzzy set and logic theories.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"479 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120879674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Petri net based programmable fuzzy controller targeted for distributed control environments 基于Petri网的可编程模糊控制器针对分布式控制环境
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409867
L. Gomes, A. Steiger-Garção
{"title":"Petri net based programmable fuzzy controller targeted for distributed control environments","authors":"L. Gomes, A. Steiger-Garção","doi":"10.1109/FUZZY.1995.409867","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409867","url":null,"abstract":"The main purpose of this paper is to present the programmable fuzzy controller (PFC), obtained with a synchronized colored Petri net model. The net model is used as the common formalism to support the integration of different ways of modelling discrete event system control targeted for real time operation. The goal is to integrate, in a common specification, fuzzy control and other forms of rule based approximate reasoning, with other common methodologies to specify discrete event system control, like state machines and concurrent systems. Support for networking is presented. It is important for the effective use of the proposed net model to specify control for a network of controller or to communicate with higher level systems, namely process controllers and monitoring and supervisory stations.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Discrimination of steel types by sparks: applying neural network 火花对钢材类型的判别:应用神经网络
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409712
Y. Yonezawa, T. Iokibe, T. Shimizu, S. Washizu
{"title":"Discrimination of steel types by sparks: applying neural network","authors":"Y. Yonezawa, T. Iokibe, T. Shimizu, S. Washizu","doi":"10.1109/FUZZY.1995.409712","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409712","url":null,"abstract":"Very many product inspection processes depend on human senses, visual mostly. Generally, such inspections are called Kannou Kensa in Japanese, which means sensory inspections. Neuro-fuzzy control is coming to function increasingly like human senses, and these techniques have come to be used for automating or mechanizing the sensory inspections. This paper discloses an experimental model for discriminating steel types resorting to image processing technique and neural network based on the method of spark test for steels (JIS G 0556) in the simplified test for identifying the material out of different material tests executed in iron and steel fields.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Image understanding using fuzzy isomorphism of fuzzy structures 利用模糊结构的模糊同构进行图像理解
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409900
C. Demko, E. Zahzah
{"title":"Image understanding using fuzzy isomorphism of fuzzy structures","authors":"C. Demko, E. Zahzah","doi":"10.1109/FUZZY.1995.409900","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409900","url":null,"abstract":"We propose a system architecture able to classify objects into models. Each object is represented by 2D color image. The fuzzy sets theory has been a fundamental base to build algorithms presented here. Each image is segmented into semantically annotated regions. In a second step, we extract structural information which are coded into graphs. At the end, we obtain a semantic graph representing the image. The classification will be done after finding the isomorphism between the 2D image graph and the available model graphs.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130246853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
The semantical approach to approximate reasoning using concepts of similarity 使用相似概念进行近似推理的语义方法
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409873
E.T. Fujito, A. Ohsato
{"title":"The semantical approach to approximate reasoning using concepts of similarity","authors":"E.T. Fujito, A. Ohsato","doi":"10.1109/FUZZY.1995.409873","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409873","url":null,"abstract":"The present work is an attempt to represent approximate reasoning using concepts of possibility and necessity distributions from the point of view of similarity.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Schedule optimization using fuzzy inference 使用模糊推理的调度优化
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409831
H. Soma, M. Hori, T. Sogou
{"title":"Schedule optimization using fuzzy inference","authors":"H. Soma, M. Hori, T. Sogou","doi":"10.1109/FUZZY.1995.409831","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409831","url":null,"abstract":"Many search algorithms have been developed to solve combinatorial optimization problems. The simulation method is often used to make practical job shop schedules, because search algorithms take long processing time. This paper proposes a fast algorithm to improve the schedule. This algorithm is based on general heuristic which reforms the Gantt chart. It is very useful for improving the schedules which are made by a simulation method. Including both logical and numerical judgment, the heuristic is implemented by fuzzy rules and membership functions.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123111302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A semantics for possibility theory based on likelihoods 基于可能性的可能性理论的语义学
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409891
D. Dubois, S. Moral, H. Prade
{"title":"A semantics for possibility theory based on likelihoods","authors":"D. Dubois, S. Moral, H. Prade","doi":"10.1109/FUZZY.1995.409891","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409891","url":null,"abstract":"In this paper, a semantic basis for possibility theory based on likelihood functions is presented. In some cases, possibilities have been considered as approximations of plausibility measures. This approximation exchanges exactness of plausibility values for the simplicity of use of possibility values. In this paper, a different direction is followed. Possibility measures are considered as the supremum of a family of likelihood functions. This is an exact interpretation, not an approximation. The minimum rule to combine possibility distributions is justified in this framework under general conditions. Conditions under which other rules can be applied are also studied.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 150
Parallel distributed compensation of nonlinear systems by Takagi-Sugeno fuzzy model 基于Takagi-Sugeno模糊模型的非线性系统并行分布补偿
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. Pub Date : 1995-03-20 DOI: 10.1109/FUZZY.1995.409737
Hua O. Wang, Kazuo Tanaka, M. Griffin
{"title":"Parallel distributed compensation of nonlinear systems by Takagi-Sugeno fuzzy model","authors":"Hua O. Wang, Kazuo Tanaka, M. Griffin","doi":"10.1109/FUZZY.1995.409737","DOIUrl":"https://doi.org/10.1109/FUZZY.1995.409737","url":null,"abstract":"We present a design methodology for stabilization of a class of nonlinear systems. First, we approximate a nonlinear plant with a Takagi-Sugeno fuzzy model. Then a model-based fuzzy controller design utilizing the concept of so-called \"parallel distributed compensation\" is employed. The design procedure is conceptually simple and straightforward. The method is illustrated by application to the problem of balancing an inverted pendulum on a cart.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 561
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信